Top Software Engineer Jobs in India

Develop and maintain cloud-native full-stack applications using Java, Spring Boot, ReactJS, APIs, databases, Azure, and mobile technologies. Troubleshoot production issues, apply cloud and AI/data best practices, and collaborate with global teams in an Agile environment. Follow CI/CD and DevOps practices while contributing to digital transformation initiatives.

Designs and develops Java and Node.js applications and microservices, optimizes databases and queries, maintains CI/CD pipelines, conducts code reviews, mentors junior developers, troubleshoots production issues, and collaborates with cross-functional teams to deliver scalable software solutions.

Build automated testing and verification frameworks for application and database modernization. Develop tools for functional equivalence, performance validation, data integrity, contract testing, database state comparison, and LLM-based unit test generation. Collaborate on architecture, distributed systems troubleshooting, code reviews, technical designs, CI/CD, and cross-functional product delivery.

Develops secure, scalable software for AI/ML and generative AI platforms within an agile team. Responsibilities include Python and AWS development, platform engineering, MLOps, data governance, LLM fine-tuning, multi-agent orchestration, troubleshooting, automation, continuous integration, and communicating technical solutions across the organization.

Maintain and improve AWS cloud infrastructure, networking, Kubernetes platforms, deployment pipelines, and CI/CD tooling supporting a 24/7 digital bank. Build automations, enhance developer experience, support application teams, and participate in on-call operations. The role emphasizes cloud stability, performance, security, compliance, infrastructure as code, DevOps practices, and collaboration across engineering squads.

Develops secure, scalable Salesforce solutions; designs architecture, writes and reviews code, integrates Salesforce with external systems, troubleshoots production issues, implements testing and CI/CD, mentors developers, maintains documentation, supports project planning, and ensures compliance with security standards.

Design, build, and secure identity and access systems using OIDC/OAuth 2.0, SAML, Active Directory, JWT/JWKS, X.509, PKI, and TLS. Own authentication token lifecycles, reverse-proxy components, end-to-end testing, customer identity troubleshooting, packaging, documentation, and a Windows C#/.NET companion application. Collaborate with product, engineering, and support teams to maintain secure, reliable releases.

Manage incentive-system data intake, processing, reporting, output, archival, and quality assurance. Investigate discrepancies, perform root-cause analysis, improve process flows, automate recurring activities, support system troubleshooting, and maintain data integrity. Collaborate with stakeholders, handle data-processing inquiries, document procedures, and apply SQL and Python to analysis and automation. Varicent experience is optional.

Lead and deliver complex blockchain platform initiatives: design, develop, test, implement and monitor applications and system components; ensure operational efficiency, risk compliance, mentor engineers, collaborate with stakeholders, and partner with production support and platform teams.

Architect and develop scalable security platform services using Golang or Java. Define technical roadmaps, manage projects, collaborate with cross-functional stakeholders, write and review well-tested code, debug complex backend systems, improve operational reliability, and mentor engineers. The role focuses on security, compliance, privacy, secrets and key management, identity access management, vulnerabilities, and onchain security capabilities.

Develop, test, implement, document, maintain, and support secure, scalable software applications. Build API and UI test automation, validate system integrations, implement CI/CD quality gates, refactor automation code, and follow software quality and security standards. Collaborate with cross-functional Agile teams, meet delivery timelines, report project metrics, identify emerging issues, and recommend solutions.

Provide production/application support for enterprise healthcare platforms: manage incidents, perform root cause analysis, use monitoring/observability and ticketing tools, collaborate with development/infrastructure/business teams, troubleshoot data and application issues using SQL, scripting, and cloud knowledge to meet SLAs and improve operational reliability.

Develop and test full-stack applications using C#, SQL, .NET Core, and Angular. Collaborate in an Agile scrum team, refine requirements, conduct code reviews, solve backend, frontend, database, and infrastructure problems, and design reusable components and frameworks. Support automation, CI/CD, DevOps, application architecture, planning, and AI-enabled productivity improvements.

Develop and test Ericsson’s cloud-native infrastructure and network management software for 5G products. Responsibilities include requirements analysis, application design, feature development, test automation, and AI-enabled workflow integration. The role uses Go, Python, Kubernetes, Helm, Docker, microservices, REST APIs, Robot Framework, Linux, and Agile tools while contributing to architecture-aligned modules and intelligent automation.

Leads development of robust Java and Node.js applications and microservices, optimizing databases for scalability and performance. Performs code reviews, mentors junior developers, enforces engineering best practices, and implements CI/CD pipelines. Collaborates with cross-functional teams, troubleshoots complex development and production issues, and evaluates emerging technologies and productivity tools such as GitHub Copilot.

Develop and support Salesforce solutions through design, coding, testing, debugging, documentation, deployment, and production support. Build integrations with enterprise systems using REST, SOAP, JSON, and XML. Apply Salesforce data modeling, sharing, security, unit testing, CI/CD, and DevOps practices. Collaborate with architects, product owners, technology teams, and partner applications while addressing service quality, compliance, and risk requirements. The role requires in-office work and adaptability to emerging AI technologies.

Designs, builds, deploys, and supports AI assistants, agents, and automation solutions. Responsibilities include developing agentic workflows, Python microservices, LLM/RAG retrieval pipelines, prompt-engineering patterns, testing, debugging, performance tuning, security patching, observability, documentation, on-call operations, and incident reviews. The role partners with product, cloud, security, and AI teams to deliver secure, scalable digital solutions and mentors engineers across the product lifecycle.

Join an agile Employee Platforms team to design, develop, test, and troubleshoot secure, scalable software. Build ETL pipelines, perform database and ETL testing, write high-quality code, use CI/CD and AI-assisted development tools, and collaborate on SDLC, resiliency, and security practices.

Lead backend software engineering initiatives from technical design through launch. Solve complex architecture and reliability challenges, deliver shared solutions for engineering teams, establish code review and documentation standards, manage high-risk fixes, influence company-wide initiatives, mentor engineers, and make customer-focused technical decisions across cloud and developer productivity environments.

Design, develop, and maintain secure, scalable full‑stack applications and data platform solutions. Build production code, troubleshoot complex issues, create architecture/design artifacts, leverage cloud and Databricks, apply CI/CD and secure coding practices, and use enterprise AI-assisted development tools responsibly to improve risk reporting systems.

Design, build, test, and operate cloud-native back-end microservices (Java) for banking products. Ensure secure, scalable, reliable systems, zero-downtime releases, performance optimization, incident management, and responsible use of enterprise AI-assisted development tools.

Designs and architects scalable platform data-management solutions, including persistence, storage, concurrency, data lifecycle management, telemetry, and visualization. Leads data strategy, resolves complex data loss and recovery problems, optimizes performance, and ensures security and testing rigor. The role drives cross-functional initiatives, mentors engineers, evaluates storage technologies, and applies AI-assisted development to distributed systems. Experience with Java, relational databases, cloud platforms, Kubernetes, S3, and Apache Iceberg is relevant.

Develop secure, high-quality software and supporting infrastructure for Chase UK’s digital banking platform. Responsibilities include system design, application development, testing, troubleshooting, CI/CD and developer-experience improvements, architecture documentation, data analysis, and operational stability. The role also involves Atlassian SaaS administration, SSO and SCIM integrations, and Terraform-based infrastructure provisioning while collaborating with distributed engineering teams.

Lead a software engineering team to design, build, and operate secure, scalable Java/Spring Boot services using Kafka and cloud-native practices. Drive code quality, CI/CD, resiliency, AI-assisted development adoption, vendor evaluations, and cross-team technical leadership within financial services.

Design and maintain reliable, scalable, and secure AWS infrastructure using Terraform and automation scripts. Manage monitoring, logging, alerting, CI/CD, container orchestration, incident response, and performance optimization. Collaborate with development, operations, and security teams, participate in on-call rotations, enforce cloud security practices, document systems, and responsibly use AI-assisted engineering tools.